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Datasets:
alexandrainst
/
scala

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Danish
Swedish
Norwegian Bokmål
Size:
100K - 1M
Libraries:
Datasets
pandas
License:
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metadata
dataset_info:
  - config_name: da
    features:
      - name: text
        dtype: string
      - name: corruption_type
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      - name: label
        dtype: string
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      - name: corruption_type
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      - name: label
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      - name: corruption_type
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  - config_name: fo
    features:
      - name: text
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      - name: label
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      - name: test
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      - name: full_train
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  - config_name: is
    features:
      - name: text
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      - name: corruption_type
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      - name: label
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  - config_name: nb
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      - name: test
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      - name: full_train
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  - config_name: nn
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      - name: corruption_type
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  - config_name: sv
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configs:
  - config_name: da
    data_files:
      - split: train
        path: da/train-*
      - split: val
        path: da/val-*
      - split: test
        path: da/test-*
      - split: full_train
        path: da/full_train-*
  - config_name: de
    data_files:
      - split: train
        path: de/train-*
      - split: val
        path: de/val-*
      - split: test
        path: de/test-*
      - split: full_train
        path: de/full_train-*
  - config_name: en
    data_files:
      - split: train
        path: en/train-*
      - split: val
        path: en/val-*
      - split: test
        path: en/test-*
      - split: full_train
        path: en/full_train-*
  - config_name: fo
    data_files:
      - split: train
        path: fo/train-*
      - split: val
        path: fo/val-*
      - split: test
        path: fo/test-*
      - split: full_train
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  - config_name: is
    data_files:
      - split: train
        path: is/train-*
      - split: val
        path: is/val-*
      - split: test
        path: is/test-*
      - split: full_train
        path: is/full_train-*
  - config_name: nb
    data_files:
      - split: train
        path: nb/train-*
      - split: val
        path: nb/val-*
      - split: test
        path: nb/test-*
      - split: full_train
        path: nb/full_train-*
  - config_name: nl
    data_files:
      - split: train
        path: nl/train-*
      - split: val
        path: nl/val-*
      - split: test
        path: nl/test-*
      - split: full_train
        path: nl/full_train-*
  - config_name: nn
    data_files:
      - split: train
        path: nn/train-*
      - split: val
        path: nn/val-*
      - split: test
        path: nn/test-*
      - split: full_train
        path: nn/full_train-*
  - config_name: sv
    data_files:
      - split: train
        path: sv/train-*
      - split: val
        path: sv/val-*
      - split: test
        path: sv/test-*
      - split: full_train
        path: sv/full_train-*
license: cc-by-sa-4.0
task_categories:
  - text-classification
language:
  - da
  - sv
  - nb
  - nn
  - 'no'
  - is
  - fo
  - en
  - de
  - nl
pretty_name: ScaLA
size_categories:
  - 100K<n<1M

Dataset Card for ScaLA

Dataset Description

Dataset Summary

This dataset consists of documents and whether they are grammatically correct or not. It has been automatically generated using this script, which corrupts documents from a universal dependencies treebank.

Supported Tasks and Leaderboards

Evaluation of linguistic acceptability (binary classification on correct/incorrect) is the intended task for this dataset. Leaderboards are live here.

Languages

The dataset is available in Danish (da), Swedish (sv), Norwegian Bokmål (nb), Norwegian Nynorsk (nn), Icelandic (is), Faroese (fo), German (de), Dutch (nl) and English (en).

Dataset Structure

An example from the dataset looks as follows.

{
  "text": "some text",
  "corruption_type": <null, "flip_neighbours" or "delete">,
  "label": <"incorrect" or "correct">
}

Data Fields

  • text: a string feature.
  • corruption_type: a string or null feature.
  • label: a string feature.

Dataset Creation

Curation Rationale

There are very few linguistic acceptability datasets in the given languages.

Source Data

The dataset has been collected from the universal dependencies datasets for the given languages.

Additional Information

Dataset Curators

Dan Saattrup Nielsen from the The Alexandra Institute

Licensing Information

The dataset is licensed under the CC BY-SA 4.0 license.